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  • March: Big Data Analytics and Data Science
    Vol. 1 No. 1 (2026)

    Big Data Analytics and Data Science is a peer-reviewed academic journal that publishes cutting-edge research in big data analytics and data science, emphasizing data-driven methods and intelligent analytics for decision support and innovation, covering areas such as big data architectures and platforms, data mining and predictive analytics, machine learning for data analytics, data visualization and visual analytics, processing of structured, semi-structured, and unstructured data, business intelligence and data-driven decision-making, as well as ethical, privacy, and governance aspects of data science. The journal is published in March, June, September, and December.